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Floating Cubes
Problem

Struggling to run AI in Production

A business has problems running Artificial Intelligence in Production, because one or more essential process or data or engineering ingredients is missing or broken.
Prevented by these Capabilities
The ability to move AI from R&D into production with ease
The capability to transfer AI technology from R&D into production is extremely important for a nimble technology business.
Inhibits these Capabilities
AI does the heavy-lifting for subject matter experts
Caused by these Problems
Lack of governance and change management for AI
Lack of engineering best practices for AI
Lack of automation for testing and deploying AI
Seen in these Maturity Models
Artificial Intelligence Engineering Maturity Model
Stage 3: Operational: AI in Production with successes and challenges - Maturity Stage
A business has successfully moved an important AI capability into production at this maturity stage. The service is working, but might be more expensive than planned, and there are unforeseen challenges.
Artificial Intelligence Engineering Maturity Model